基于萤火虫算法和熵权法的水资源优化配置

以经济、社会、环境综合效益最大为目标建立多目标水资源优化配置模型,利用熵权法计算得到多目标的客观权重系数,采用主观权重与客观权重相结合的方式得到综合权重,避免了仅由人的主观因素确实权重而形成的偏差,结合实例利用萤火虫算法对所建立的模型进行仿真。结果表明:萤烛算法具有较快的收敛速度和较高的寻优性能,能有效地找到最优解,为解决复杂水资源优化配置问题提供了新思路。

Optimal allocation of water resources based on firefly algorithm and entropy method

A multi-objective model of optimal allocation of water resources was set up based on the maximum overall goals with regard to economic, social, and environmental benefits. The objective weighting factor was obtained with the entropy method, and the comprehensive weight was obtained through a combination of subjective and objective weights, avoiding the weight distribution deviation caused by subjective factors. The firefly algorithm was used to solve the model in a case study. The results show that the algorithm has a higher convergence speed and higher capability in finding the optimal solution, and thus can provide a new method of dealing with complex optimal allocation of water resources.